Storj

Storj is the leading decentralized storage project with tens of thousands of nodes and proven Web2 demand.

[Storj @storj]

From 4090s to Blackwell-class systems, the GPU stack is diversifying fast! 🚀 Teams that adapt their infrastructure will move faster than the rest. 🏃‍♂️💨 What’s next on your upgrade list? 🤔

#AI #Infrastructure #Storj

[Storj @storj]

AI growth isn’t just about models... 🤖 It’s about where compute lives, 🌍 how fast it spins up, ⚡ and how easily it moves! 🤩 What matters most — location, cost, or speed?

#AIInfra #DistributedSystems #Storj

[Storj @storj]

4090s aren’t flashy anymore — and that’s the point! 🔧 Predictable performance still wins in production. 🏆🌟 Still running these today?

#RTX4090 #Compute #Storj

[Storj @storj]

The line between flagship and practical GPUs is fading... 👀 5090-class hardware is finding a sweet spot for inference. 😍✨ What’s eating more budget — training or inference?

#Inference #GPUs #Storj

[Storj @storj]

Not every team wants a cluster on day one! ⚡ Single-node H100 access lowers the barrier to serious experimentation. ⌚ When do you know it’s time to scale? 🤔

#AICompute #Builders #Storj

[Storj @storj]

Large-model training still favors density. 😤 💪 Multi-node H100 deployments remain the workhorse for real scale! 🐎 Horizontal scale or vertical scale? 🤔

#H100 #ModelTraining #Storj

[Storj @storj]

When memory becomes the bottleneck, everything slows down... 🐌 H200-class systems are built for workloads that don’t fit neatly. 💻✨ Compute or memory — what breaks first for you?

#H200 #AIInfrastructure #Storj

[Storj @storj]

B200s aren’t theoretical anymore... 🧠🔥 Multi-GPU nodes in EU Tier 3 DCs point to where serious training is headed! 🚀 Who actually needs this tier today? 🤔

#B200 #AITraining #Storj

[Storj @storj]

Blackwell-class GPUs are showing up beyond hyperscalers! 🚀 RTX 6000s in Tier 3 data centers are changing how teams deploy. 🤩 Prod or R&D — where would you use these?

#Blackwell #GPUs #Storj

[Storj @storj]

AI workloads are eating compute faster than expected! 🤯 What matters now isn’t hype — it’s access. ⚡ What’s been hardest to source lately?

#AICompute #Infrastructure #Storj

[Storj @storj]

From RTX 4090s to Blackwell B200s, compute is evolving fast. 🚀 Infrastructure growth is the signal—builders are watching. 👀 What GPU tier are you watching most? 🤔 @storj

#Compute #AIInfrastructure #Web3

[Storj @storj]

AI, media, and data workloads are driving demand for resilient, globally distributed infrastructure. 🌐⚡ That trend continues to underpin the broader @storj ecosystem. What’s driving compute demand in your industry? 🌍

#AI #MediaTech #Infrastructure

[Storj @storj]

Proven performance at accessible pricing.
⚡ 8× RTX 4090
💸 ~$0.40/hr per GPU
📍 LA / Amsterdam
Strong fundamentals still matter. Is 4090 still your go-to GPU? @storj

#RTX4090 #AICompute #Builders

[Storj @storj]

High performance without premium pricing!
🎮 8× RTX 5090
💸 ~$0.68/hr per GPU
📍 LA / NY

Efficient compute options support long-term infrastructure adoption. What would you run on these first?👀 @storj

#GPUs #AIInference #Rendering

[Storj @storj]

@SouthernEquity 👏👏👏

[Storj @storj]

@satosigirl We get it—crypto can be wild! Storj has focused on building real infrastructure and enterprise-ready solutions over the past 9 years. Storj's growth isn’t just about short-term price—it’s about long-term adoption, network usage, and real-world utility. 🚀 Thanks!

[Storj @storj]

For next-gen AI training workloads:
⚙️ 8× B200 GPUs
💸 ~$3.20/hr per GPU
🌍 EU Tier 3 DC
⏱ 4-week minimum

Enterprise-grade compute meets open infrastructure. Training or inference—what’s your priority? @storj

#BlackwellB200 #AITraining #HPC

[Storj @storj]

@DDOT__pro Thanks! Our tier‑3 DCs deliver enterprise‑grade latency, fully optimized to meet the demands of our commercial customers. :)

[Storj @storj]

Blackwell performance without hyperscaler lock-in.
🚀 RTX 6000 GPUs
💸 ~$1.63/hr per GPU
📍 Tier 3 DCs (US/EU)
🔗 1-node minimum
Infrastructure momentum across the @storj ecosystem. 🤩

#Blackwell #GPUs #AICompute

[Storj @storj]

@DannyUrbanNomad Hi! Storj doesn’t currently burn tokens from revenue like some other projects, but all token info—including supply and distribution—is transparently available at https://t.co/DnbzEXwasJ. Investors can track details there anytime!

[Storj @storj]

Not every workload needs a massive cluster.
⚡ Flexible H100 option
🔓 1-node minimum
📍 Houston, TX

More flexibility. Same class of compute. Would you start with one node or scale fast? @storj

#AICompute #Infrastructure #Flexibility

[Storj @storj]

Training at scale is no longer optional.
💪 H100 clusters starting at ~$1.40/hr per GPU
🖥 10-node minimum
📍 Amsterdam / NY

The kind of infrastructure AI growth depends on. Is scale or flexibility more important to you? @storj

#H100 #AITraining #ComputeScale